Ágnes Gyorfi

According to our database, Ágnes Gyorfi authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture.

Szabolcs Csaholczi, Ágnes Györfi, Levente Kovács, László Szilágyi

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

2023

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture.

Ágnes Gyorfi, Levente Kovács, László Szilágyi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2021

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data.

Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi

Proceedings of the 2021 IEEE AFRICON, 2021

2020

Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning^*.

Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi

Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020

Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach.

Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods.

Ágnes Gyorfi, Levente Kovács, László Szilágyi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data.

Ágnes Gyorfi, Levente Kovács, László Szilágyi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods.

Ágnes Gyorfi, Levente Kovács, László Szilágyi

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data.

Ágnes Gyorfi, Zoltán Karetka-Mezei, David Iclanzan, Levente Kovács, László Szilágyi

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2017

Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach.

Zoltán Kapás, László Lefkovits, David Iclanzan, Ágnes Gyorfi, Barna László Iantovics, Szidónia Lefkovits, Sándor Miklós Szilágyi, László Szilágyi

Proceedings of the Image and Video Technology - 8th Pacific-Rim Symposium, 2017